Every day this video ages more and more poorly [1]. categories of startups that will be affected by these launches: - vectorDB startups -> don't need embeddings anymore - file processing startups -> don't need to process files anymore - fine tuning startups -> can fine tune directly from the platform now, with GPT4 fine tuning coming - cost reduction startups -> they literally lowered prices and increased rate limits…
Embeddings are still important (context windows can't contain all data + memorization and continuous retraining is not yet viable), and vertical AI agent startups can still lead on UX.
New models and developer products
341–350 of 561 posts
Re: New models and developer products
#342Earlier quoted context omitted.
Is it the same as avoiding AWS because they will take your software and run it themselves to steal your clients?
It’s more like running a PaaS product backed by AWS and then your customers realizing they can just use AWS directly, pay less, and have less complexity. And they have done this before for what it’s worth.
I'm assuming that the target customer of this is people whose moat is proprietary data. If their moat is a unique approach to building a model, then it would indeed be dangerous to engage OpenAI. But then I'd think OpenAI would be hesistent to engage as well.
Re: New models and developer products
#343Earlier quoted context omitted.
I don't understand the lock-in argument here. Yes, if a competitor comes in there will be switching cost as everything is re-learned. However, from a code perspective, it is a function of the key and a relatively small API. New regulations outstanding, what is stoping someone from moving from OpenAI to Anthropic (for example) other than the cost of learning how to effectively utilize Anthropic for your use case? Open…
> However, from a code perspective, it is a function of the key and a relatively small API. You're thinking of traditional apps and APIs. In an AI application, most of the work is in prompt engineering, not wiring up the API to your app. Prompts that work well for one model will fail horribly for another. People spend months refining their prompts before they're safe to share with users, and switching platforms will…
Re: New models and developer products
#344Every day this video ages more and more poorly [1]. categories of startups that will be affected by these launches: - vectorDB startups -> don't need embeddings anymore - file processing startups -> don't need to process files anymore - fine tuning startups -> can fine tune directly from the platform now, with GPT4 fine tuning coming - cost reduction startups -> they literally lowered prices and increased rate limits…
> - vectorDB startups -> don't need embeddings anymore they don't provide embedings, but storage and query engines for embeddings, so still very relevant > - file processing startups -> don't need to process files anymore curious what is that exactly?.. > - vertical ai agent startups -> GPT marketplace sure, those startups will be selling their agents on marketplace
But you don't need any of the chain of: extract data, calculate embeddings, store data indexed by embeddings, detect need to retrieve data by embeddings and stuff it into LLM context along with your prompt if you use OpenAI's Assistants API, which, in addition to letting you store your own prompts and manage associated threads, also lets you upload data for it to extract, store, and use for RAG on the level of either a defined Assistant or a particular conversation (Thread.)
Re: New models and developer products
#345For all the naysayers in the comments, the elephant in the room that no one quite wants to admit, is that GPT4 is still far better than everything else out there
It might be better on average but I don’t think it’s better for every task.
All the others are only going to get better too.
Re: New models and developer products
#346Earlier quoted context omitted.
Do you see a way around prompt injection? It feels like any feature they release is going to be susceptible to it.
I suspect OpenAI's black box workflow has some safeguards for it.
Re: New models and developer products
#347Re: New models and developer products
#348> We’re also launching a feature to return the log probabilities for the most likely output tokens generated by GPT-4 Turbo and GPT-3.5 Turbo in the next few weeks, which will be useful for building features such as autocomplete in a search experience. This is very surprising to me. Are they not worried about people not just training on GPT-4 outputs to steal the model capabilities, but doing full blown logit knowled…
I guess the EO takes care of that in their eyes (outlawing open models). They’re probably right too
The EO doesn't do anything even approximately like outlawing open models.
Re: New models and developer products
#349Earlier quoted context omitted.
Anthropic never even had a day. I said this before in another Anthropic thread but I signed up 6 months ago for API access and they never responded. An employee in that thread apologized and said to try again, did it, week later still nothing. As far as commercial viability, they never had it.
I have not tried, but I assumed that API access to Anthropic's Claude is available through AWS Bedrock.
Re: New models and developer products
#350Earlier quoted context omitted.
Anthropic never even had a day. I said this before in another Anthropic thread but I signed up 6 months ago for API access and they never responded. An employee in that thread apologized and said to try again, did it, week later still nothing. As far as commercial viability, they never had it.
I got access to Claude 2 - it’s really good and have been chatting with their sales team. Seems they were reasonably responsive- but overall with OpenAI 128k context and price anthropic has no edge